Application of Neural Networks for unfolding neutron spectra measured by means of Bonner Spheres
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2000
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WORKSHOP ON NEUTRON FIELD SPECTROMETRY IN SCIENCE, TECHNOLOG Y AND RADIATION PROTECTION
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A Neural Network structure has been used for unfolding neutron spectra measured by means of a Bonner Sphere
Spectrometer set. The present work used the ‘‘Stuttgart Neural Network Simulator’’ as the interface for designing,
training and validation ofa MultiLayer Perceptron network. The back-propagation algorithm was applied. The Bonner
Sphere set chosen has been calibrated at the National Physical Laboratory, United Kingdom, and uses gold activation
foils as thermal neutron detectors. The neutron energy covered by the response functions goes from 0.0001 eV to
10MeV. Two types ofneutron spectra were numerically investigated: monoenergetic and continuous. Good results
were obtained, indicating that the Neural Network can be considered an interesting alternative among the neutron
spectrum unfolding methodologies.
Como referenciar
BRAGA, C.C.; DIAS, M.S. Application of Neural Networks for unfolding neutron spectra measured by means of Bonner Spheres. In: KLEIN, H. (ed.); THOMAS, D. (ed.); MENZEL, H.G. (ed.); CURZIO, G. (ed.); D'ERRICO, F. (ed.). In: WORKSHOP ON NEUTRON FIELD SPECTROMETRY IN SCIENCE, TECHNOLOG Y AND RADIATION PROTECTION, June 4-8, 2000, Pisa, Italy. Proceedings... p. 252-255. DOI: 10.1016/S0168-9002(01)01464-4. Disponível em: http://repositorio.ipen.br/handle/123456789/16369. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.